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Saul Kato, PhD

Assistant Professor

Neurology

415-353-2173

Foundations of Cognition and Neural Computation

Our lab develops and applies computational, cutting-edge engineering (software, hardware, and genomic), and experimental approaches to basic neuroscience and builds theories of brain function. We also collaborate with other labs to apply our tools to probe brain dysfunction and disease. We are a hybrid experimental-computational lab and welcome members from diverse scientific and technical backgrounds.

The production of flexible but controlled behavioral sequences in simpler animals may be an evolutionary foundation for higher cognitive abilities in humans. We study how real-time function emerges from the nervous system of C. elegans, a 1 millimeter long roundworm. Despite having only 302 neurons, this animal has a rich behavioral repertoire including probabilistic and directed taxis, associative learning, cooperation, and coordinated body movement. We combine dynamical systems analysis with the development and application of high-throughput, high-resolution neural activity imaging technologies, genomic engineering and behavioral assays to understand how this "low-n" neural network processes sensory stimuli and integrates them with an evolving internal state in order to produce competent, continuous behavior.

On an entirely different evolutionary branch, organisms acquired the ability to harness large pools of largely undifferentiated neurons and shape them through development and learning in order to flexibly solve problems and drive complex tasks, thereby getting around the limited information capacity of the genome. Our lab is also interested in understanding how these "high-n" neural systems achieve what they do, and determining what ingredients, or rules of assembly and operation, are required in order for such sophisticated problem-solving functions to emerge.

Current Projects

Models and basis of action selection in C. elegans

The emergence of global dynamics from single cell properties and the connectome